Introduction to Operations Research, Volume 1CD-ROM contains: Student version of MPL Modeling System and its solver CPLEX -- MPL tutorial -- Examples from the text modeled in MPL -- Examples from the text modeled in LINGO/LINDO -- Tutorial software -- Excel add-ins: TreePlan, SensIt, RiskSim, and Premium Solver -- Excel spreadsheet formulations and templates. |
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Page 494
For example , the supervisor of the crew responsible for putting up the wallboard indicates that adding two temporary employees and using overtime would enable him to reduce the duration of this activity from 8 weeks to 6 weeks , which ...
For example , the supervisor of the crew responsible for putting up the wallboard indicates that adding two temporary employees and using overtime would enable him to reduce the duration of this activity from 8 weeks to 6 weeks , which ...
Page 522
Therefore , he and the top management of 21st Century Studios have concluded that they must accelerate production of their movie and bring it out at the beginning of the summer ( 15 weeks from now ) to establish it as THE movie of the ...
Therefore , he and the top management of 21st Century Studios have concluded that they must accelerate production of their movie and bring it out at the beginning of the summer ( 15 weeks from now ) to establish it as THE movie of the ...
Page 523
( d ) After 8 weeks , activities A , B , and C have been completed with actual costs of $ 190,000 , $ 70,000 , and ... Estimated Duration Estimated Cost А B С D E F 6 weeks 2 weeks 4 weeks 5 weeks 7 weeks 9 weeks $ 420,000 $ 180,000 ...
( d ) After 8 weeks , activities A , B , and C have been completed with actual costs of $ 190,000 , $ 70,000 , and ... Estimated Duration Estimated Cost А B С D E F 6 weeks 2 weeks 4 weeks 5 weeks 7 weeks 9 weeks $ 420,000 $ 180,000 ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity algebraic algorithm allocation allowable range artificial variables assignment problem augmenting path basic solution Big M method changes coefficients column Consider the following constraint boundary corresponding CPLEX decision variables dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphically identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LP relaxation lution Maximize Maximize Z maximum flow problem Minimize needed node nonbasic variables objective function obtained optimal solution optimality test path Plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices slack variables solve this model Solver spreadsheet step subproblem surplus variables tion transportation problem transportation simplex method weeks Wyndor Glass x₁ zero